Senior Associate / Associate - Investment Strategy & Capital Analytics Location: London or Manchester (Hybrid) Our client is a leading European investment platform operating across private credit, lending and real assets. Following continued growth, they are seeking a highly analytical Associate to join their Investment Strategy & Capital Analytics team. This team sits at the centre of investment decision-making, providing the analysis and insight that supports portfolio construction, capital deployment and fund performance. It is an excellent opportunity for a commercially minded analyst who enjoys working with complex data and influencing high-value investment decisions. The Role You will work closely with senior stakeholders across investments, finance and portfolio management, helping to translate complex information into actionable insights. Key responsibilities include: Building and enhancing financial and portfolio models Monitoring fund and investment performance Analysing projected versus actual returns Supporting capital deployment decisions Conducting scenario analysis and stress testing Producing clear and concise management insights from large datasets Supporting strategic projects and business intelligence initiatives Working with stakeholders across multiple investment strategies Candidate Profile We are interested in candidates who combine strong technical capability with commercial curiosity. Suitable backgrounds may include: Big 4 Modelling, Valuations or Advisory teams Actuarial consulting Investment banking Corporate finance Strategic finance and FP&A Infrastructure or private markets analytics Decision sciences, quantitative or data-focused functions Requirements: Strong academic track record, ideally within a quantitative discipline Advanced Excel modelling skills Experience working with complex datasets SQL, Power BI or similar analytical tools advantageous Ability to communicate complex information in a clear and commercial manner Exceptional attention to detail A proactive and intellectually curious mindset Why Apply? This role offers exposure to senior decision-makers and provides a unique opportunity to work across investment strategy, portfolio analytics and capital allocation. Successful candidates will gain broad exposure to fund management and investment decision-making within a growing platform.
Aug 08, 2026
Full time
Senior Associate / Associate - Investment Strategy & Capital Analytics Location: London or Manchester (Hybrid) Our client is a leading European investment platform operating across private credit, lending and real assets. Following continued growth, they are seeking a highly analytical Associate to join their Investment Strategy & Capital Analytics team. This team sits at the centre of investment decision-making, providing the analysis and insight that supports portfolio construction, capital deployment and fund performance. It is an excellent opportunity for a commercially minded analyst who enjoys working with complex data and influencing high-value investment decisions. The Role You will work closely with senior stakeholders across investments, finance and portfolio management, helping to translate complex information into actionable insights. Key responsibilities include: Building and enhancing financial and portfolio models Monitoring fund and investment performance Analysing projected versus actual returns Supporting capital deployment decisions Conducting scenario analysis and stress testing Producing clear and concise management insights from large datasets Supporting strategic projects and business intelligence initiatives Working with stakeholders across multiple investment strategies Candidate Profile We are interested in candidates who combine strong technical capability with commercial curiosity. Suitable backgrounds may include: Big 4 Modelling, Valuations or Advisory teams Actuarial consulting Investment banking Corporate finance Strategic finance and FP&A Infrastructure or private markets analytics Decision sciences, quantitative or data-focused functions Requirements: Strong academic track record, ideally within a quantitative discipline Advanced Excel modelling skills Experience working with complex datasets SQL, Power BI or similar analytical tools advantageous Ability to communicate complex information in a clear and commercial manner Exceptional attention to detail A proactive and intellectually curious mindset Why Apply? This role offers exposure to senior decision-makers and provides a unique opportunity to work across investment strategy, portfolio analytics and capital allocation. Successful candidates will gain broad exposure to fund management and investment decision-making within a growing platform.
Senior Associate / Associate - Investment Strategy & Capital Analytics Location: London or Manchester (Hybrid) Our client is a leading European investment platform operating across private credit, lending and real assets. Following continued growth, they are seeking a highly analytical Associate to join their Investment Strategy & Capital Analytics team. This team sits at the centre of investment decision-making, providing the analysis and insight that supports portfolio construction, capital deployment and fund performance. It is an excellent opportunity for a commercially minded analyst who enjoys working with complex data and influencing high-value investment decisions. The Role You will work closely with senior stakeholders across investments, finance and portfolio management, helping to translate complex information into actionable insights. Key responsibilities include: Building and enhancing financial and portfolio models Monitoring fund and investment performance Analysing projected versus actual returns Supporting capital deployment decisions Conducting scenario analysis and stress testing Producing clear and concise management insights from large datasets Supporting strategic projects and business intelligence initiatives Working with stakeholders across multiple investment strategies Candidate Profile We are interested in candidates who combine strong technical capability with commercial curiosity. Suitable backgrounds may include: Big 4 Modelling, Valuations or Advisory teams Actuarial consulting Investment banking Corporate finance Strategic finance and FP&A Infrastructure or private markets analytics Decision sciences, quantitative or data-focused functions Requirements: Strong academic track record, ideally within a quantitative discipline Advanced Excel modelling skills Experience working with complex datasets SQL, Power BI or similar analytical tools advantageous Ability to communicate complex information in a clear and commercial manner Exceptional attention to detail A proactive and intellectually curious mindset Why Apply? This role offers exposure to senior decision-makers and provides a unique opportunity to work across investment strategy, portfolio analytics and capital allocation. Successful candidates will gain broad exposure to fund management and investment decision-making within a growing platform.
Aug 08, 2026
Full time
Senior Associate / Associate - Investment Strategy & Capital Analytics Location: London or Manchester (Hybrid) Our client is a leading European investment platform operating across private credit, lending and real assets. Following continued growth, they are seeking a highly analytical Associate to join their Investment Strategy & Capital Analytics team. This team sits at the centre of investment decision-making, providing the analysis and insight that supports portfolio construction, capital deployment and fund performance. It is an excellent opportunity for a commercially minded analyst who enjoys working with complex data and influencing high-value investment decisions. The Role You will work closely with senior stakeholders across investments, finance and portfolio management, helping to translate complex information into actionable insights. Key responsibilities include: Building and enhancing financial and portfolio models Monitoring fund and investment performance Analysing projected versus actual returns Supporting capital deployment decisions Conducting scenario analysis and stress testing Producing clear and concise management insights from large datasets Supporting strategic projects and business intelligence initiatives Working with stakeholders across multiple investment strategies Candidate Profile We are interested in candidates who combine strong technical capability with commercial curiosity. Suitable backgrounds may include: Big 4 Modelling, Valuations or Advisory teams Actuarial consulting Investment banking Corporate finance Strategic finance and FP&A Infrastructure or private markets analytics Decision sciences, quantitative or data-focused functions Requirements: Strong academic track record, ideally within a quantitative discipline Advanced Excel modelling skills Experience working with complex datasets SQL, Power BI or similar analytical tools advantageous Ability to communicate complex information in a clear and commercial manner Exceptional attention to detail A proactive and intellectually curious mindset Why Apply? This role offers exposure to senior decision-makers and provides a unique opportunity to work across investment strategy, portfolio analytics and capital allocation. Successful candidates will gain broad exposure to fund management and investment decision-making within a growing platform.
London Market Company is seeking an ambitious Graduate Catastrophe Modelling Analyst to join its Exposure Management team. This is an excellent opportunity to develop a career in catastrophe modelling, working closely with experienced professionals across underwriting, actuarial and exposure management. You will support the Cat Manager with the end-to-end catastrophe modelling process, including exposure capture, pre-underwriting analytics, portfolio roll-ups, aggregation, monitoring and reporting across multiple territories. The role also offers the opportunity to contribute to workflow improvements, automation projects and the ongoing development of the team's catastrophe modelling capabilities using Verisk models and internal systems. Candidates should have a numerate degree in a STEM related discipline, together with a genuine interest in insurance, reinsurance and natural catastrophe risk. Strong analytical and problem-solving skills are essential, along with advanced Excel skills and excellent communication abilities. Knowledge of catastrophe modelling, Verisk Touchstone, SQL, Power BI or programming languages such as Python, R or VBA would be advantageous, although full training will be provided for the right individual.
Aug 08, 2026
Full time
London Market Company is seeking an ambitious Graduate Catastrophe Modelling Analyst to join its Exposure Management team. This is an excellent opportunity to develop a career in catastrophe modelling, working closely with experienced professionals across underwriting, actuarial and exposure management. You will support the Cat Manager with the end-to-end catastrophe modelling process, including exposure capture, pre-underwriting analytics, portfolio roll-ups, aggregation, monitoring and reporting across multiple territories. The role also offers the opportunity to contribute to workflow improvements, automation projects and the ongoing development of the team's catastrophe modelling capabilities using Verisk models and internal systems. Candidates should have a numerate degree in a STEM related discipline, together with a genuine interest in insurance, reinsurance and natural catastrophe risk. Strong analytical and problem-solving skills are essential, along with advanced Excel skills and excellent communication abilities. Knowledge of catastrophe modelling, Verisk Touchstone, SQL, Power BI or programming languages such as Python, R or VBA would be advantageous, although full training will be provided for the right individual.
Are you a finance, business, or actuarial graduate fluent in an Asian language? Skip the entry-level bottleneck and step into a role that builds a foundation in international insurance, accounting, data analytics, and machine learning. We are hiring an Associate Data Analyst to join our International Data Team in London. You will directly power the financial intelligence used by global corporate clients and rating processes across Europe, APAC, the Middle East, and Africa. Why this is the perfect first step Global exposure : Analyze financial data and annual reports from insurance giants across Europe, Asia-Pacific, and MEA. Cutting-edge tech : Work with advanced machine learning software to automate data capture and template allocation. High-profile research : Collaborate with senior analysts to produce data for flagship products, market briefings, and press research. Valuable expertise : Master the highly sought-after, complex principles of international insurance accounting. What we are looking for Language skills : Ability to read and interpret financial information in Mandarin , Cantonese , Japanese , or Korean (required). Academic foundation : A degree in Accounting , Finance , Business , or Actuarial Studies . Analytical eye : Strong attention to detail, excel skills, and the ability to navigate balance sheets and income statements.
Aug 05, 2026
Full time
Are you a finance, business, or actuarial graduate fluent in an Asian language? Skip the entry-level bottleneck and step into a role that builds a foundation in international insurance, accounting, data analytics, and machine learning. We are hiring an Associate Data Analyst to join our International Data Team in London. You will directly power the financial intelligence used by global corporate clients and rating processes across Europe, APAC, the Middle East, and Africa. Why this is the perfect first step Global exposure : Analyze financial data and annual reports from insurance giants across Europe, Asia-Pacific, and MEA. Cutting-edge tech : Work with advanced machine learning software to automate data capture and template allocation. High-profile research : Collaborate with senior analysts to produce data for flagship products, market briefings, and press research. Valuable expertise : Master the highly sought-after, complex principles of international insurance accounting. What we are looking for Language skills : Ability to read and interpret financial information in Mandarin , Cantonese , Japanese , or Korean (required). Academic foundation : A degree in Accounting , Finance , Business , or Actuarial Studies . Analytical eye : Strong attention to detail, excel skills, and the ability to navigate balance sheets and income statements.
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Aug 05, 2026
Full time
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Pensions Analyst Salary: £28,000 - £40,000 depending on experience Join a specialist consultancy providing actuarial pensions advice for expert witness work. Our small team of highly qualified professionals supports solicitors with clear, accurate, and stress-free guidance on pension matters, predominantly within divorce proceedings and employment tribunal cases. The Role You will produce expert witness reports focused on pensions and divorce, working with instructing solicitors to analyse pension assets, interpret scheme documentation, and advise on division options. Key Responsibilities Assess cases and draft correspondence to instructing solicitors Review pension scheme documentation (e.g., CE values, benefit statements) Liaise with pension administrators to obtain required data Manage your own caseload to meet service standards Maintain accurate client records using Word, Excel, and an in-house CRM Proofread expert witness reports for technical and presentation accuracy Prepare invoices and support credit control processes What You'll Need Must-have: Proven experience in a DB pension scheme environment (life office, IFA, or pensions administration) Benefits We offer a comprehensive package of core and flexible benefits designed to support your wellbeing, financial security, and work-life balance, including: 27 days' holiday plus bank holidays, with the option to buy up to 5 additional days per year after 1 year's service Group Income Protection covering 70% of salary after long-term illness or injury Health Assessments after 6 months' service, plus fertility, pregnancy, parenthood and menopause support via Peppy Employee Assistance Programme (EAP) for emotional, practical, and legal support for you and your immediate family Discounted shopping scheme with offers from over 3,000 retailers Emergency dependant care with up to 10 funded sessions per year Eye care allowance, annual flu vaccination, and Group Life Insurance providing 8 base salary cover Group Personal Pension Plan (GPPP) with 8% employer core contribution plus up to 4% matched contributions, including salary sacrifice benefits Optional flexible benefits including private medical insurance, dental cover, critical illness, personal accident cover, gym discounts, Cycle to Work, Savings Plan, Share Incentive Plan, Season Ticket Loan, and Green Car Scheme (electric/hybrid vehicle leasing) If you feel like this is a role for you, please apply below
Aug 03, 2026
Full time
Pensions Analyst Salary: £28,000 - £40,000 depending on experience Join a specialist consultancy providing actuarial pensions advice for expert witness work. Our small team of highly qualified professionals supports solicitors with clear, accurate, and stress-free guidance on pension matters, predominantly within divorce proceedings and employment tribunal cases. The Role You will produce expert witness reports focused on pensions and divorce, working with instructing solicitors to analyse pension assets, interpret scheme documentation, and advise on division options. Key Responsibilities Assess cases and draft correspondence to instructing solicitors Review pension scheme documentation (e.g., CE values, benefit statements) Liaise with pension administrators to obtain required data Manage your own caseload to meet service standards Maintain accurate client records using Word, Excel, and an in-house CRM Proofread expert witness reports for technical and presentation accuracy Prepare invoices and support credit control processes What You'll Need Must-have: Proven experience in a DB pension scheme environment (life office, IFA, or pensions administration) Benefits We offer a comprehensive package of core and flexible benefits designed to support your wellbeing, financial security, and work-life balance, including: 27 days' holiday plus bank holidays, with the option to buy up to 5 additional days per year after 1 year's service Group Income Protection covering 70% of salary after long-term illness or injury Health Assessments after 6 months' service, plus fertility, pregnancy, parenthood and menopause support via Peppy Employee Assistance Programme (EAP) for emotional, practical, and legal support for you and your immediate family Discounted shopping scheme with offers from over 3,000 retailers Emergency dependant care with up to 10 funded sessions per year Eye care allowance, annual flu vaccination, and Group Life Insurance providing 8 base salary cover Group Personal Pension Plan (GPPP) with 8% employer core contribution plus up to 4% matched contributions, including salary sacrifice benefits Optional flexible benefits including private medical insurance, dental cover, critical illness, personal accident cover, gym discounts, Cycle to Work, Savings Plan, Share Incentive Plan, Season Ticket Loan, and Green Car Scheme (electric/hybrid vehicle leasing) If you feel like this is a role for you, please apply below
We are working with a fast-growing, forward-thinking insurer in a high-impact role supporting UK reserving, Solvency II reporting, and wider actuarial strategy. We're looking for someone with strong reserving experience, a sharp analytical mindset, and a collaborative approach. You'll work closely with underwriting, claims, and finance teams helping to improve processes, and influence key decisions click apply for full job details
Oct 08, 2025
Full time
We are working with a fast-growing, forward-thinking insurer in a high-impact role supporting UK reserving, Solvency II reporting, and wider actuarial strategy. We're looking for someone with strong reserving experience, a sharp analytical mindset, and a collaborative approach. You'll work closely with underwriting, claims, and finance teams helping to improve processes, and influence key decisions click apply for full job details
We are working with a fast-growing, forward-thinking insurer in a high-impact role supporting UK reserving, Solvency II reporting, and wider actuarial strategy. We're looking for someone with strong reserving experience, a sharp analytical mindset, and a collaborative approach. You'll work closely with underwriting, claims, and finance teams helping to improve processes, and influence key decisions click apply for full job details
Oct 06, 2025
Full time
We are working with a fast-growing, forward-thinking insurer in a high-impact role supporting UK reserving, Solvency II reporting, and wider actuarial strategy. We're looking for someone with strong reserving experience, a sharp analytical mindset, and a collaborative approach. You'll work closely with underwriting, claims, and finance teams helping to improve processes, and influence key decisions click apply for full job details
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ's vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Core Duties/Responsibilities The Pensions Systems Analyst is responsible for software configuration to internal and external clients. Key aspects of the role are to: Undertake an analysis of pension's requirements from an outline of user requirements, or from a more detailed feasibility study. Agree the scope of work when undertaking a pension's analysis task and to provide accurate estimates to the relevant Project Manager for the work to be included. Develop and maintain Pension Scheme calculations across a range of products. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Define, configure, test, implement and maintain specific pension's elements across the whole suite of the Company's software. Continuously develop a professional, technical and commercially aware approach. Requirements Definition Undertake analysis on new pensions projects and/or enhancements to existing projects. Analyse changes and enhancements to client's pensions schemes by taking a view of their impact on the company's software as installed for the client. Liaise with clients to define pension calculation related processes using company utilities and techniques. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Skills, Knowledge & Experience Skills & Knowledge Administration of DB and / or DC Pensions Schemes. Good working Knowledge of UK Pensions Legislation and/or Actuarial (part) qualified. Ability to perform scheme calculations manually (supported by appropriate tools). Technical/Software development aptitude & ability. Capability to understand Pencalc, Workbench applications and supporting Data Model / Migration Tools. Knowledge of SQL / Oracle preferred. Qualifications & Experience Relevant qualifications in the Pensions & Actuarial Industry desirable (e.g. Pensions Management Institute Certification). UML Certification via ITSQB/ISEB or OMG desirable but not essential. Experience in the Pensions Industry, either as a Scheme Administrator or Business Analyst experienced in capturing requirements for Pensions IT Projects. Demonstrable software development capability. Demonstrate commercial awareness & operational efficiencies/income generation in current role. Essential Qualities Be approachable and responsive to colleagues and users and have an open-minded and constructive approach to problem solving. Demonstrate effective and probing appraisal of situations. To consult with relevant parties in resolving issues. Be self-motivated, demonstrating tenacity and objectivity in problem solving to get the job done effectively. What We Offer Save For Your Future - Equiniti Pension Plan; Equiniti matches your pension contributions up to 10% All Employee Long Term Incentive Plan (LTIP) - Gives all EQ Colleagues the opportunity to benefit if the current owners successfully sell the company for a profit. Health and Wellbeing - Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households. Life assurance cover at 4x salary with the ability to purchase enhance cover. Employee discounts - Discounts and cashback at your favourite high street stores through our EQ Wins Platform. Flexible Benefits - The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more. Time Off - Typically 29 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing. Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed. Learning & Development - Investment in LinkedIn Learning for all colleagues. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks
Sep 24, 2025
Full time
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ's vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Core Duties/Responsibilities The Pensions Systems Analyst is responsible for software configuration to internal and external clients. Key aspects of the role are to: Undertake an analysis of pension's requirements from an outline of user requirements, or from a more detailed feasibility study. Agree the scope of work when undertaking a pension's analysis task and to provide accurate estimates to the relevant Project Manager for the work to be included. Develop and maintain Pension Scheme calculations across a range of products. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Define, configure, test, implement and maintain specific pension's elements across the whole suite of the Company's software. Continuously develop a professional, technical and commercially aware approach. Requirements Definition Undertake analysis on new pensions projects and/or enhancements to existing projects. Analyse changes and enhancements to client's pensions schemes by taking a view of their impact on the company's software as installed for the client. Liaise with clients to define pension calculation related processes using company utilities and techniques. Analyse Clients Pension Scheme data and establish data cleanse and data migration specifications (inclusive of data mapping). Skills, Knowledge & Experience Skills & Knowledge Administration of DB and / or DC Pensions Schemes. Good working Knowledge of UK Pensions Legislation and/or Actuarial (part) qualified. Ability to perform scheme calculations manually (supported by appropriate tools). Technical/Software development aptitude & ability. Capability to understand Pencalc, Workbench applications and supporting Data Model / Migration Tools. Knowledge of SQL / Oracle preferred. Qualifications & Experience Relevant qualifications in the Pensions & Actuarial Industry desirable (e.g. Pensions Management Institute Certification). UML Certification via ITSQB/ISEB or OMG desirable but not essential. Experience in the Pensions Industry, either as a Scheme Administrator or Business Analyst experienced in capturing requirements for Pensions IT Projects. Demonstrable software development capability. Demonstrate commercial awareness & operational efficiencies/income generation in current role. Essential Qualities Be approachable and responsive to colleagues and users and have an open-minded and constructive approach to problem solving. Demonstrate effective and probing appraisal of situations. To consult with relevant parties in resolving issues. Be self-motivated, demonstrating tenacity and objectivity in problem solving to get the job done effectively. What We Offer Save For Your Future - Equiniti Pension Plan; Equiniti matches your pension contributions up to 10% All Employee Long Term Incentive Plan (LTIP) - Gives all EQ Colleagues the opportunity to benefit if the current owners successfully sell the company for a profit. Health and Wellbeing - Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households. Life assurance cover at 4x salary with the ability to purchase enhance cover. Employee discounts - Discounts and cashback at your favourite high street stores through our EQ Wins Platform. Flexible Benefits - The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more. Time Off - Typically 29 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing. Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed. Learning & Development - Investment in LinkedIn Learning for all colleagues. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks
We've partnered with a leading personal lines insurer to help them find a standout Lead Pricing Analyst to join their Home Pricing team. If you're passionate about data innovation and want to drive tangible improvements in pricing sophistication, this could be your ideal next move. Why This Role Stands Out: Big focus on external & geospatial data You'll lead the exploration and integration of new datasets-external and geospatial-to enhance pricing models, drive profitable growth, and bring new capabilities into the business. Strategic and technical balance This isn't a back-office modelling role. You'll be hands-on with pricing models and data, but also responsible for building business cases, presenting insights to senior stakeholders, and helping shape pricing strategy. Tools & Tech You'll work with GLMs and machine learning techniques using modern tools like R, Python, and actuarial pricing software. There's strong backing to innovate, test new approaches, and implement scalable solutions. Real impact in a supportive culture This is a business where pricing is seen as a growth driver-not just a compliance function. Your recommendations will directly influence commercial outcomes. What You'll Be Doing: Leading research into external and geospatial data to improve pricing models Building modelling frameworks to assess the value of new datasets Developing cost-benefit cases and supporting procurement of key data assets Conducting advanced pricing analyses and presenting clear, strategic insights Enhancing geospatial capabilities across risk selection, monitoring, and pricing Collaborating with legal, compliance, and external suppliers For more information please apply.
Sep 21, 2025
Full time
We've partnered with a leading personal lines insurer to help them find a standout Lead Pricing Analyst to join their Home Pricing team. If you're passionate about data innovation and want to drive tangible improvements in pricing sophistication, this could be your ideal next move. Why This Role Stands Out: Big focus on external & geospatial data You'll lead the exploration and integration of new datasets-external and geospatial-to enhance pricing models, drive profitable growth, and bring new capabilities into the business. Strategic and technical balance This isn't a back-office modelling role. You'll be hands-on with pricing models and data, but also responsible for building business cases, presenting insights to senior stakeholders, and helping shape pricing strategy. Tools & Tech You'll work with GLMs and machine learning techniques using modern tools like R, Python, and actuarial pricing software. There's strong backing to innovate, test new approaches, and implement scalable solutions. Real impact in a supportive culture This is a business where pricing is seen as a growth driver-not just a compliance function. Your recommendations will directly influence commercial outcomes. What You'll Be Doing: Leading research into external and geospatial data to improve pricing models Building modelling frameworks to assess the value of new datasets Developing cost-benefit cases and supporting procurement of key data assets Conducting advanced pricing analyses and presenting clear, strategic insights Enhancing geospatial capabilities across risk selection, monitoring, and pricing Collaborating with legal, compliance, and external suppliers For more information please apply.
